The efficacy of high-throughput sequencing and target enrichment on charred archaeobotanical remains View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

H. M. Nistelberger, O. Smith, N. Wales, B. Star, S. Boessenkool

ABSTRACT

The majority of archaeological plant material is preserved in a charred state. Obtaining reliable ancient DNA data from these remains has presented challenges due to high rates of nucleotide damage, short DNA fragment lengths, low endogenous DNA content and the potential for modern contamination. It has been suggested that high-throughput sequencing (HTS) technologies coupled with DNA enrichment techniques may overcome some of these limitations. Here we report the findings of HTS and target enrichment on four important archaeological crops (barley, grape, maize and rice) performed in three different laboratories, presenting the largest HTS assessment of charred archaeobotanical specimens to date. Rigorous analysis of our data - excluding false-positives due to background contamination or incorrect index assignments - indicated a lack of endogenous DNA in nearly all samples, except for one lightly-charred maize cob. Even with target enrichment, this sample failed to yield adequate data required to address fundamental questions in archaeology and biology. We further reanalysed part of an existing dataset on charred plant material, and found all purported endogenous DNA sequences were likely to be spurious. We suggest these technologies are not suitable for use with charred archaeobotanicals and urge great caution when interpreting data obtained by HTS of these remains. More... »

PAGES

37347

References to SciGraph publications

  • 2011-12. Application and comparison of large-scale solution-based DNA capture-enrichment methods on ancient DNA in SCIENTIFIC REPORTS
  • 2016-09. Archaeogenetic study of prehistoric rice remains from Thailand and India: evidence of early japonica in South and Southeast Asia in ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
  • 2016-12. AdapterRemoval v2: rapid adapter trimming, identification, and read merging in BMC RESEARCH NOTES
  • 2009-05. How to map billions of short reads onto genomes in NATURE BIOTECHNOLOGY
  • 2014-12. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses in BMC BIOLOGY
  • 2015-01. Recent advances in ancient DNA research and their implications for archaeobotany in VEGETATION HISTORY AND ARCHAEOBOTANY
  • 2008-03. Ancient plant DNA in archaeobotany in VEGETATION HISTORY AND ARCHAEOBOTANY
  • 2011-10. A draft genome of Yersinia pestis from victims of the Black Death in NATURE
  • 1994-07. Inactivation of E2a in recombinant adenoviruses improves the prospect for gene therapy in cystic fibrosis in NATURE GENETICS
  • 2011-12. Interplay between NS3 protease and human La protein regulates translation-replication switch of Hepatitis C virus in SCIENTIFIC REPORTS
  • 2011-11. Evaluation of genomic high-throughput sequencing data generated on Illumina HiSeq and Genome Analyzer systems in GENOME BIOLOGY
  • 2014-05. Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX in NATURE PROTOCOLS
  • 2012-12. Improving ancient DNA read mapping against modern reference genomes in BMC GENOMICS
  • 2013-04. Single-stranded DNA library preparation for the sequencing of ancient or damaged DNA in NATURE PROTOCOLS
  • 2014-12. A comparative study of ancient DNA isolated from charred pea (Pisum sativum L.) seeds from an Early Iron Age settlement in southeast Serbia: inference for pea domestication in GENETIC RESOURCES AND CROP EVOLUTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/srep37347

    DOI

    http://dx.doi.org/10.1038/srep37347

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1051847684

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27881876


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2101", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Archaeology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/21", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "History and Archaeology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Archaeology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Crops, Agricultural", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fossils", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "High-Throughput Nucleotide Sequencing", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Plants", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, NO-0316, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nistelberger", 
            "givenName": "H. M.", 
            "id": "sg:person.0751731013.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751731013.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Warwick", 
              "id": "https://www.grid.ac/institutes/grid.7372.1", 
              "name": [
                "School of Life Sciences, Gibbet Hill Campus, University of Warwick, Coventry CV4 7AL, United Kingdom"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Smith", 
            "givenName": "O.", 
            "id": "sg:person.01364465366.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364465366.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Copenhagen", 
              "id": "https://www.grid.ac/institutes/grid.5254.6", 
              "name": [
                "Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, \u00d8ster Voldgade 5-7, 1350 Copenhagen, Denmark"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wales", 
            "givenName": "N.", 
            "id": "sg:person.0604670670.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604670670.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, NO-0316, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Star", 
            "givenName": "B.", 
            "id": "sg:person.01110003602.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110003602.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, NO-0316, Norway"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Boessenkool", 
            "givenName": "S.", 
            "id": "sg:person.01022510571.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022510571.45"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1073/pnas.1516109112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000670840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng0794-362", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001773368", 
              "https://doi.org/10.1038/ng0794-362"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1314445110", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001934759"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.1996.0082", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002122400"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.quascirev.2015.03.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005451827"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt193", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011287846"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt193", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011287846"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-13-178", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013249306", 
              "https://doi.org/10.1186/1471-2164-13-178"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.genet.37.110801.143214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014567048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rstb.1999.0362", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015330929"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0305-4403(90)90012-t", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016406034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00334-007-0125-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016482931", 
              "https://doi.org/10.1007/s00334-007-0125-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00334-007-0125-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016482931", 
              "https://doi.org/10.1007/s00334-007-0125-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/jasc.1998.0338", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018114197"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018328066"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0308557101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019887960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1469-8137.2005.01360.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019908376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.122747.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020096058"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2014.063", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020179577", 
              "https://doi.org/10.1038/nprot.2014.063"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fpls.2015.01006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020730264"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1188046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020995997"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1188046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020995997"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12520-015-0236-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021526203", 
              "https://doi.org/10.1007/s12520-015-0236-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/mss070", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021971146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00334-014-0489-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023673402", 
              "https://doi.org/10.1007/s00334-014-0489-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1179/2054892315y.0000000001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024496819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkr771", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026092281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jas.2012.04.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026538970"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2011-12-11-r112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027516867", 
              "https://doi.org/10.1186/gb-2011-12-11-r112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12915-014-0087-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027737035", 
              "https://doi.org/10.1186/s12915-014-0087-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12915-014-0087-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027737035", 
              "https://doi.org/10.1186/s12915-014-0087-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0086827", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028056294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0305-4403(90)90026-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029563446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btr347", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030568980"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.aanat.2011.03.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031529707"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ajhg.2013.10.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033222012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/genes1020227", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034017932"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fpls.2015.00001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034053953"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2013.038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034246196", 
              "https://doi.org/10.1038/nprot.2013.038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/cobi.12195", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034702813"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0045644", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035218519"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkr648", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035552552"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/1358612021000010677", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035637540"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0120520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036424868"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0120520", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036424868"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jas.2011.10.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037173578"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13104-016-1900-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040653018", 
              "https://doi.org/10.1186/s13104-016-1900-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13104-016-1900-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040653018", 
              "https://doi.org/10.1186/s13104-016-1900-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10722-014-0128-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041461438", 
              "https://doi.org/10.1007/s10722-014-0128-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1318678111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041840211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0305-4403(02)00244-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041987965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0305-4403(02)00244-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041987965"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10549", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042284160", 
              "https://doi.org/10.1038/nature10549"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1755-0998.12470", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042483958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-5347(01)02235-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042503350"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0509-455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043194556", 
              "https://doi.org/10.1038/nbt0509-455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt0509-455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043194556", 
              "https://doi.org/10.1038/nbt0509-455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0151974", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047020660"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.078212.108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047542880"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jas.2012.07.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047721918"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep00001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049119557", 
              "https://doi.org/10.1038/srep00001"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.90.5.1997", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051856924"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0305-4403(03)00002-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052583259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0305-4403(03)00002-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052583259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.120618.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052850693"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep00074", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053587913", 
              "https://doi.org/10.1038/srep00074"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/pdb.prot5448", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060411299"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1123360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062453436"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1261278", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062470846"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.289.5482.1139b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062570650"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/acprof:osobl/9780199549061.001.0001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098713232"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-12", 
        "datePublishedReg": "2016-12-01", 
        "description": "The majority of archaeological plant material is preserved in a charred state. Obtaining reliable ancient DNA data from these remains has presented challenges due to high rates of nucleotide damage, short DNA fragment lengths, low endogenous DNA content and the potential for modern contamination. It has been suggested that high-throughput sequencing (HTS) technologies coupled with DNA enrichment techniques may overcome some of these limitations. Here we report the findings of HTS and target enrichment on four important archaeological crops (barley, grape, maize and rice) performed in three different laboratories, presenting the largest HTS assessment of charred archaeobotanical specimens to date. Rigorous analysis of our data - excluding false-positives due to background contamination or incorrect index assignments - indicated a lack of endogenous DNA in nearly all samples, except for one lightly-charred maize cob. Even with target enrichment, this sample failed to yield adequate data required to address fundamental questions in archaeology and biology. We further reanalysed part of an existing dataset on charred plant material, and found all purported endogenous DNA sequences were likely to be spurious. We suggest these technologies are not suitable for use with charred archaeobotanicals and urge great caution when interpreting data obtained by HTS of these remains.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/srep37347", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.3560194", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.4646924", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "6"
          }
        ], 
        "name": "The efficacy of high-throughput sequencing and target enrichment on charred archaeobotanical remains", 
        "pagination": "37347", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f6f94cdca65a998c43a450c2f9cf5a7bbda0ae4797e2c61c0613bce733edc8ec"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "27881876"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/srep37347"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1051847684"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/srep37347", 
          "https://app.dimensions.ai/details/publication/pub.1051847684"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T20:53", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000551.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://www.nature.com/articles/srep37347"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/srep37347'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep37347'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep37347'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep37347'


     

    This table displays all metadata directly associated to this object as RDF triples.

    338 TRIPLES      21 PREDICATES      98 URIs      28 LITERALS      16 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/srep37347 schema:about N048f08b55c474061b6022f55b9f4d01e
    2 N106e0e49f1af4f9da65dc17dd682afd5
    3 N12be35ddc93e4665a7b9e1c200b45fa6
    4 N36aa1ebe65bf4d7ebc6f5b788c7a9cbb
    5 N70a65f36822c4d4fbf5dfe72d1dc6a21
    6 Nae1b7b6f3abf4a12b8bf917fc39a90d4
    7 Ncd96292639b540e193e2c232a918cf9b
    8 anzsrc-for:21
    9 anzsrc-for:2101
    10 schema:author N6939d935bfbb4608ba7610d6ef9835ba
    11 schema:citation sg:pub.10.1007/s00334-007-0125-7
    12 sg:pub.10.1007/s00334-014-0489-4
    13 sg:pub.10.1007/s10722-014-0128-z
    14 sg:pub.10.1007/s12520-015-0236-5
    15 sg:pub.10.1038/nature10549
    16 sg:pub.10.1038/nbt0509-455
    17 sg:pub.10.1038/ng0794-362
    18 sg:pub.10.1038/nprot.2013.038
    19 sg:pub.10.1038/nprot.2014.063
    20 sg:pub.10.1038/srep00001
    21 sg:pub.10.1038/srep00074
    22 sg:pub.10.1186/1471-2164-13-178
    23 sg:pub.10.1186/gb-2011-12-11-r112
    24 sg:pub.10.1186/s12915-014-0087-z
    25 sg:pub.10.1186/s13104-016-1900-2
    26 https://doi.org/10.1006/jasc.1998.0338
    27 https://doi.org/10.1016/0305-4403(90)90012-t
    28 https://doi.org/10.1016/0305-4403(90)90026-2
    29 https://doi.org/10.1016/j.aanat.2011.03.012
    30 https://doi.org/10.1016/j.ajhg.2013.10.002
    31 https://doi.org/10.1016/j.jas.2011.10.008
    32 https://doi.org/10.1016/j.jas.2012.04.012
    33 https://doi.org/10.1016/j.jas.2012.07.014
    34 https://doi.org/10.1016/j.quascirev.2015.03.027
    35 https://doi.org/10.1016/s0169-5347(01)02235-2
    36 https://doi.org/10.1016/s0305-4403(02)00244-3
    37 https://doi.org/10.1016/s0305-4403(03)00002-5
    38 https://doi.org/10.1073/pnas.0308557101
    39 https://doi.org/10.1073/pnas.1314445110
    40 https://doi.org/10.1073/pnas.1318678111
    41 https://doi.org/10.1073/pnas.1516109112
    42 https://doi.org/10.1073/pnas.90.5.1997
    43 https://doi.org/10.1080/1358612021000010677
    44 https://doi.org/10.1093/acprof:osobl/9780199549061.001.0001
    45 https://doi.org/10.1093/bioinformatics/btr026
    46 https://doi.org/10.1093/bioinformatics/btr347
    47 https://doi.org/10.1093/bioinformatics/btt193
    48 https://doi.org/10.1093/molbev/mss070
    49 https://doi.org/10.1093/nar/gkr648
    50 https://doi.org/10.1093/nar/gkr771
    51 https://doi.org/10.1098/rspb.1996.0082
    52 https://doi.org/10.1098/rstb.1999.0362
    53 https://doi.org/10.1101/gr.078212.108
    54 https://doi.org/10.1101/gr.120618.111
    55 https://doi.org/10.1101/gr.122747.111
    56 https://doi.org/10.1101/pdb.prot5448
    57 https://doi.org/10.1111/1755-0998.12470
    58 https://doi.org/10.1111/cobi.12195
    59 https://doi.org/10.1111/j.1469-8137.2005.01360.x
    60 https://doi.org/10.1126/science.1123360
    61 https://doi.org/10.1126/science.1188046
    62 https://doi.org/10.1126/science.1261278
    63 https://doi.org/10.1126/science.289.5482.1139b
    64 https://doi.org/10.1146/annurev.genet.37.110801.143214
    65 https://doi.org/10.1179/2054892315y.0000000001
    66 https://doi.org/10.1371/journal.pone.0045644
    67 https://doi.org/10.1371/journal.pone.0086827
    68 https://doi.org/10.1371/journal.pone.0120520
    69 https://doi.org/10.1371/journal.pone.0151974
    70 https://doi.org/10.3389/fpls.2015.00001
    71 https://doi.org/10.3389/fpls.2015.01006
    72 https://doi.org/10.3390/genes1020227
    73 schema:datePublished 2016-12
    74 schema:datePublishedReg 2016-12-01
    75 schema:description The majority of archaeological plant material is preserved in a charred state. Obtaining reliable ancient DNA data from these remains has presented challenges due to high rates of nucleotide damage, short DNA fragment lengths, low endogenous DNA content and the potential for modern contamination. It has been suggested that high-throughput sequencing (HTS) technologies coupled with DNA enrichment techniques may overcome some of these limitations. Here we report the findings of HTS and target enrichment on four important archaeological crops (barley, grape, maize and rice) performed in three different laboratories, presenting the largest HTS assessment of charred archaeobotanical specimens to date. Rigorous analysis of our data - excluding false-positives due to background contamination or incorrect index assignments - indicated a lack of endogenous DNA in nearly all samples, except for one lightly-charred maize cob. Even with target enrichment, this sample failed to yield adequate data required to address fundamental questions in archaeology and biology. We further reanalysed part of an existing dataset on charred plant material, and found all purported endogenous DNA sequences were likely to be spurious. We suggest these technologies are not suitable for use with charred archaeobotanicals and urge great caution when interpreting data obtained by HTS of these remains.
    76 schema:genre research_article
    77 schema:inLanguage en
    78 schema:isAccessibleForFree true
    79 schema:isPartOf N8eba5d91609247b5a436c0c9a25e81e0
    80 Nad6206b4f91645268ebd8092a7210fe8
    81 sg:journal.1045337
    82 schema:name The efficacy of high-throughput sequencing and target enrichment on charred archaeobotanical remains
    83 schema:pagination 37347
    84 schema:productId N09c6f3513831408aad8cb22f234aa3b8
    85 N266369e58232431d9eebc4e3c7a381a6
    86 N31d86ce7f87f4fd9be81b2b695068fe9
    87 N479ee09f52494346a206f003b787727d
    88 Nd305a3cf086e4621b0c59f302e0c1a9e
    89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051847684
    90 https://doi.org/10.1038/srep37347
    91 schema:sdDatePublished 2019-04-10T20:53
    92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    93 schema:sdPublisher Ndd6506f050b1475ca50f9e64faeb8972
    94 schema:url http://www.nature.com/articles/srep37347
    95 sgo:license sg:explorer/license/
    96 sgo:sdDataset articles
    97 rdf:type schema:ScholarlyArticle
    98 N00e2361728db4d33b4e2c9064840352f rdf:first sg:person.01364465366.10
    99 rdf:rest Na0511e8155a440a9ab4fe9f188879c37
    100 N048f08b55c474061b6022f55b9f4d01e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    101 schema:name Crops, Agricultural
    102 rdf:type schema:DefinedTerm
    103 N09c6f3513831408aad8cb22f234aa3b8 schema:name doi
    104 schema:value 10.1038/srep37347
    105 rdf:type schema:PropertyValue
    106 N106e0e49f1af4f9da65dc17dd682afd5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    107 schema:name DNA, Plant
    108 rdf:type schema:DefinedTerm
    109 N12be35ddc93e4665a7b9e1c200b45fa6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    110 schema:name Archaeology
    111 rdf:type schema:DefinedTerm
    112 N266369e58232431d9eebc4e3c7a381a6 schema:name readcube_id
    113 schema:value f6f94cdca65a998c43a450c2f9cf5a7bbda0ae4797e2c61c0613bce733edc8ec
    114 rdf:type schema:PropertyValue
    115 N31d86ce7f87f4fd9be81b2b695068fe9 schema:name nlm_unique_id
    116 schema:value 101563288
    117 rdf:type schema:PropertyValue
    118 N36aa1ebe65bf4d7ebc6f5b788c7a9cbb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Plants
    120 rdf:type schema:DefinedTerm
    121 N479ee09f52494346a206f003b787727d schema:name pubmed_id
    122 schema:value 27881876
    123 rdf:type schema:PropertyValue
    124 N6939d935bfbb4608ba7610d6ef9835ba rdf:first sg:person.0751731013.62
    125 rdf:rest N00e2361728db4d33b4e2c9064840352f
    126 N70a65f36822c4d4fbf5dfe72d1dc6a21 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Fossils
    128 rdf:type schema:DefinedTerm
    129 N7e962d5de45a4362bb42d4436bf52318 rdf:first sg:person.01022510571.45
    130 rdf:rest rdf:nil
    131 N8eba5d91609247b5a436c0c9a25e81e0 schema:issueNumber 1
    132 rdf:type schema:PublicationIssue
    133 Na0511e8155a440a9ab4fe9f188879c37 rdf:first sg:person.0604670670.27
    134 rdf:rest Na20e6d8ce6b945119804fe4ad898d748
    135 Na20e6d8ce6b945119804fe4ad898d748 rdf:first sg:person.01110003602.56
    136 rdf:rest N7e962d5de45a4362bb42d4436bf52318
    137 Nad6206b4f91645268ebd8092a7210fe8 schema:volumeNumber 6
    138 rdf:type schema:PublicationVolume
    139 Nae1b7b6f3abf4a12b8bf917fc39a90d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name High-Throughput Nucleotide Sequencing
    141 rdf:type schema:DefinedTerm
    142 Ncc973b2e6f084ebcb2488a35838b8385 schema:name Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, NO-0316, Norway
    143 rdf:type schema:Organization
    144 Ncd96292639b540e193e2c232a918cf9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Animals
    146 rdf:type schema:DefinedTerm
    147 Nd305a3cf086e4621b0c59f302e0c1a9e schema:name dimensions_id
    148 schema:value pub.1051847684
    149 rdf:type schema:PropertyValue
    150 Nd4b9e2f11b554ca4bcdc4123381e02ed schema:name Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, NO-0316, Norway
    151 rdf:type schema:Organization
    152 Ndcc9f4e326304688a50c3c27e832eca5 schema:name Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, P.O. Box 1066, Blindern, Oslo, NO-0316, Norway
    153 rdf:type schema:Organization
    154 Ndd6506f050b1475ca50f9e64faeb8972 schema:name Springer Nature - SN SciGraph project
    155 rdf:type schema:Organization
    156 anzsrc-for:21 schema:inDefinedTermSet anzsrc-for:
    157 schema:name History and Archaeology
    158 rdf:type schema:DefinedTerm
    159 anzsrc-for:2101 schema:inDefinedTermSet anzsrc-for:
    160 schema:name Archaeology
    161 rdf:type schema:DefinedTerm
    162 sg:grant.3560194 http://pending.schema.org/fundedItem sg:pub.10.1038/srep37347
    163 rdf:type schema:MonetaryGrant
    164 sg:grant.4646924 http://pending.schema.org/fundedItem sg:pub.10.1038/srep37347
    165 rdf:type schema:MonetaryGrant
    166 sg:journal.1045337 schema:issn 2045-2322
    167 schema:name Scientific Reports
    168 rdf:type schema:Periodical
    169 sg:person.01022510571.45 schema:affiliation Ndcc9f4e326304688a50c3c27e832eca5
    170 schema:familyName Boessenkool
    171 schema:givenName S.
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022510571.45
    173 rdf:type schema:Person
    174 sg:person.01110003602.56 schema:affiliation Ncc973b2e6f084ebcb2488a35838b8385
    175 schema:familyName Star
    176 schema:givenName B.
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110003602.56
    178 rdf:type schema:Person
    179 sg:person.01364465366.10 schema:affiliation https://www.grid.ac/institutes/grid.7372.1
    180 schema:familyName Smith
    181 schema:givenName O.
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364465366.10
    183 rdf:type schema:Person
    184 sg:person.0604670670.27 schema:affiliation https://www.grid.ac/institutes/grid.5254.6
    185 schema:familyName Wales
    186 schema:givenName N.
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604670670.27
    188 rdf:type schema:Person
    189 sg:person.0751731013.62 schema:affiliation Nd4b9e2f11b554ca4bcdc4123381e02ed
    190 schema:familyName Nistelberger
    191 schema:givenName H. M.
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751731013.62
    193 rdf:type schema:Person
    194 sg:pub.10.1007/s00334-007-0125-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016482931
    195 https://doi.org/10.1007/s00334-007-0125-7
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1007/s00334-014-0489-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023673402
    198 https://doi.org/10.1007/s00334-014-0489-4
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1007/s10722-014-0128-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1041461438
    201 https://doi.org/10.1007/s10722-014-0128-z
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1007/s12520-015-0236-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021526203
    204 https://doi.org/10.1007/s12520-015-0236-5
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1038/nature10549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042284160
    207 https://doi.org/10.1038/nature10549
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1038/nbt0509-455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043194556
    210 https://doi.org/10.1038/nbt0509-455
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1038/ng0794-362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001773368
    213 https://doi.org/10.1038/ng0794-362
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1038/nprot.2013.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034246196
    216 https://doi.org/10.1038/nprot.2013.038
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1038/nprot.2014.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020179577
    219 https://doi.org/10.1038/nprot.2014.063
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1038/srep00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049119557
    222 https://doi.org/10.1038/srep00001
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1038/srep00074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053587913
    225 https://doi.org/10.1038/srep00074
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1186/1471-2164-13-178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013249306
    228 https://doi.org/10.1186/1471-2164-13-178
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1186/gb-2011-12-11-r112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027516867
    231 https://doi.org/10.1186/gb-2011-12-11-r112
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1186/s12915-014-0087-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1027737035
    234 https://doi.org/10.1186/s12915-014-0087-z
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1186/s13104-016-1900-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040653018
    237 https://doi.org/10.1186/s13104-016-1900-2
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1006/jasc.1998.0338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018114197
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1016/0305-4403(90)90012-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1016406034
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1016/0305-4403(90)90026-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029563446
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/j.aanat.2011.03.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031529707
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1016/j.ajhg.2013.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033222012
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1016/j.jas.2011.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037173578
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1016/j.jas.2012.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026538970
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1016/j.jas.2012.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047721918
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1016/j.quascirev.2015.03.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005451827
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1016/s0169-5347(01)02235-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042503350
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1016/s0305-4403(02)00244-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041987965
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1016/s0305-4403(03)00002-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052583259
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1073/pnas.0308557101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019887960
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1073/pnas.1314445110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001934759
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1073/pnas.1318678111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041840211
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1073/pnas.1516109112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000670840
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1073/pnas.90.5.1997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051856924
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1080/1358612021000010677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035637540
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1093/acprof:osobl/9780199549061.001.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098713232
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1093/bioinformatics/btr026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018328066
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1093/bioinformatics/btr347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030568980
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1093/bioinformatics/btt193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011287846
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1093/molbev/mss070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021971146
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1093/nar/gkr648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035552552
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1093/nar/gkr771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026092281
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1098/rspb.1996.0082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002122400
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1098/rstb.1999.0362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015330929
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1101/gr.078212.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047542880
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1101/gr.120618.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052850693
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1101/gr.122747.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020096058
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1101/pdb.prot5448 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060411299
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1111/1755-0998.12470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042483958
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1111/cobi.12195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034702813
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1111/j.1469-8137.2005.01360.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019908376
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1126/science.1123360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062453436
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1126/science.1188046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020995997
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1126/science.1261278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062470846
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1126/science.289.5482.1139b schema:sameAs https://app.dimensions.ai/details/publication/pub.1062570650
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1146/annurev.genet.37.110801.143214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014567048
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1179/2054892315y.0000000001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024496819
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1371/journal.pone.0045644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035218519
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1371/journal.pone.0086827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028056294
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1371/journal.pone.0120520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036424868
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1371/journal.pone.0151974 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047020660
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.3389/fpls.2015.00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034053953
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.3389/fpls.2015.01006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020730264
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.3390/genes1020227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034017932
    332 rdf:type schema:CreativeWork
    333 https://www.grid.ac/institutes/grid.5254.6 schema:alternateName University of Copenhagen
    334 schema:name Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen, Denmark
    335 rdf:type schema:Organization
    336 https://www.grid.ac/institutes/grid.7372.1 schema:alternateName University of Warwick
    337 schema:name School of Life Sciences, Gibbet Hill Campus, University of Warwick, Coventry CV4 7AL, United Kingdom
    338 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...